DocumentCode
3448391
Title
Evaluation Model Based on Analytic Hierarchy Process and Applications in Indoor Air Quality Monitoring System
Author
Hong Shao ; Lizhi Yang ; Yangyang Han
Author_Institution
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
fYear
2013
fDate
1-3 Nov. 2013
Firstpage
9
Lastpage
12
Abstract
Analytic Hierarchy Process (AHP), which was originally introduced by Professor T. L. Satty, is an effective method to make a quantitative analysis for the non-quantitative analytical case. In recent years, two evaluation models based on AHP have been proposed for indoor air quality (IAQ) by the environmental experts from home and abroad. One is Indoor Assessment by the Analytical Hierarchy (IAAH), and the other is Fuzzy AHP, which is combined fuzzy computing and AHP. In this paper, the two models are constructed and respectively applied in the IAQ evaluation. Here an experiment is designed to compare them from the applicable condition in the IAQ monitoring system. The results show that IAAH is suitable for the monitoring system which makes an environmental assessment at a long interval, e.g. 1 hour and 8 hours. On the contrary, Fuzzy AHP is more suitable for that which makes an environmental assessment at a short interval, e.g. 5 minutes and 10 minutes.
Keywords
air quality; analytic hierarchy process; computerised monitoring; environmental science computing; fuzzy reasoning; indoor environment; IAAH; IAQ evaluation; analytic hierarchy process; environmental assessment; evaluation model; fuzzy AHP; fuzzy computing; indoor air quality monitoring system; indoor assessment by the analytical hierarchy; Analytical models; Atmospheric modeling; Computational modeling; Educational institutions; Monitoring; Pollution; Standards; Analytic hierarchy process; Data acquisition system; Evaluation model; Fuzzy computing; Indoor air quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4799-2808-8
Type
conf
DOI
10.1109/ICINIS.2013.9
Filename
6754658
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